Core Algorithms
Rules-based strategies running live on real capital. Deterministic logic, fully auditable, every trade explained by a rule.
Choose this when you want deterministic, explainable behavior.
Systematic Trading Technology
We build trading systems.
Some are rules. Some are AI.
All pass the same tests.
Live algorithms, AI modules for entries, filters, and trade management, and fully autonomous agents — every system goes through the same validation pipeline before it touches live capital.
Forex · Gold & Metals · Indices · Stocks · Crypto · Commodities · + More
Four product lines. One standard.
Behind each system is the same loop: quantitative research finds the edge and shapes the strategy, an algorithm automates and executes it, and infrastructure runs it live — with AI used wherever it earns its place, in the research or the execution. Some systems are pure logic, some pure AI, most in between; the mix is chosen per market and per job, not by ideology.
Hybrid Systems — Algorithm + AI
Classic strategies extended with AI where it measurably helps: entry signals, trade filters, and trade management layers on top of a rules-based core.
Choose this when you want a known strategy made sharper.
AI-Native Systems & Autonomous Agents
Systems where the model is the strategy: AI-driven decision engines and LLM-powered agents that analyze, decide, and manage trades under defined risk limits.
Choose this when the behavior you're trading can't be written down as explicit rules.
Quant Infrastructure
The execution servers, data pipelines, monitoring, and risk controls that every system above runs on. Also available as engineering work for your own strategies.
Choose this when you have the strategy and need it running reliably.
Our systems run across forex, indices, stocks, crypto, metals and commodities — and more. Each system is validated per instrument; we don't assume an edge transfers until testing says it does.
How a system earns live capital
Every system — rules-based or AI-driven — goes through the same gate sequence. Nothing skips a stage because it's fashionable, and nothing is retired because it's old.
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1
Quant research & backtest
Find the edge: hypothesis, historical testing, cost-realistic assumptions.
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2
Out-of-sample & walk-forward
The part of the data the system never saw.
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3
Demo incubation
Live market conditions, zero capital at risk.
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4
Small live allocation
Real money, real slippage — the stage backtests can't fake.
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5
Scale or retire
Systems keep their allocation only while live behavior matches expectations.
Built by practitioners, not a marketing team
Every system is designed, built, deployed, and monitored in-house — and traded on our own capital before anyone else's. That order is deliberate: nothing reaches a client that we wouldn't run ourselves.
Tell us what you're building
We license existing systems, build custom ones, and take on infrastructure engineering. One email reaches us directly — expect a substantive reply, not a sales sequence.
Email
hello@midascode.ai
Mention what you're after: licensing an existing algorithm, adding AI to your strategy (signals, filters, trade management), a custom AI-driven system, or quant infrastructure.
When we talk, that includes the evidence — live track records and a methodology brief, shared privately and with context rather than published as marketing. Nothing on this site is investment advice or an offer to manage funds.
Risk disclosure
Trading foreign exchange, indices, stocks, cryptocurrencies, commodities, and other instruments carries substantial risk of loss and is not suitable for everyone. Past performance — including any track record we share privately — is not indicative of future results. Nothing on this site is investment advice or an offer to manage funds; MidasCode builds and operates trading technology.